An optimisation model to increase the cross-dockings operational utilisation

Vahid Ghomi, Farnaz Ghazi Nezami, Sina Shokoohyar, Mina Ghofrani Esfahani

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Introducing a new version of a cross-docking assignment problem when forklifts carry bulk materials, we address an operational solution to reduce the impact of forklifts congestion in centre of terminals. We develop a mixed-integer bilinear programming model, a Tabu-search algorithm, where the main objective of the model is still to minimize the total transshipment costs, and additionally trying to minimize the weighted forklifts travelled distance (WTD) and the weighted unloading/loading labour costs at inbound and outbound doors (WLC). We hypothesize that longer WTD could shift the location of weighted forklift congestion concentration from the centre of the terminal toward the sides. We assuming four cost pattern’s distributions, all are supposed to lead high flows to doors with low labour costs, which ultimately impact the total WTD, WLC, and TTC. The proposed Tabu-search outperform CPLEX by finding a set of a diverse and high-quality solution within a reasonable computing time.

Original languageEnglish (US)
Pages (from-to)356-387
Number of pages32
JournalInternational Journal of Logistics Systems and Management
Volume47
Issue number3
DOIs
StatePublished - 2024

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Management Science and Operations Research
  • Information Systems and Management

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